Research data management: funder requirements, questions and solutions 3TU.Datacentrum Symposium 2014

Transcription

1 Research data management: funder requirements, questions and solutions 3TU.Datacentrum Symposium 2014 The changing landscape of research data

2 Looking back 3TU.Datacentrum established in 2007 As part of the set-up of the 3TU.Datacentrum: interview round with senior scientists at the three technical universities: Situation with regard to the archiving of research data: little structured and depending on persons Response to 3TU.Datacentrum: long-term process and plea for small-scale, demand-driven approach

3 2011: NWO adapts policy with regard to research data

4 Four types of incentives Re-use and recognition: Citations of datasets (f.e. DataCite) VSNU Code Wetenschapsbeoefening Peer-reviewed SEP data publication (f.e. ESSD) Journal Challenge: protocol data availability to policies: make sharing III.2 De kwaliteit van dataverzameling, data-invoer, datasets an integrated part of the academic culture dataopslag The assessment en dataverwerking committee: wordt goed bewaakt. Goede Journals increasingly demand that the underlying data of an verslaglegging The assessment van committee alle stappen considers en controle the research op de uitvoering unit s article are available is policy noodzakelijk on research (labjournaals, integrity and voortgangsrapportages, the way in which violations Principles documentatie of such of integrity science, van are afspraken prevented. reflected en It beslissingen interested rules enz.). in how and the codes of unit deals with research data, data management and conduct: III.3 integrity De bewaartermijn van ruwe onderzoeksgegevens is VNSU minimaal Code 5 of jaar. Conduct Deze gegevens (2004; worden updated op aanvraag 2012); ter SEP Self beschikking evaluation: gesteld aan andere wetenschapsbeoefenaren. Research integrity: A general reflection covering the Requirements by funding organisations: Data following III.4 plan; Ruwe access/sharing; aspects: onderzoeksgegevens c. how the unit long-term worden deals zodanig with curation; and stores monitoring; gearchiveerd raw and processed dat deze data te allen tijde met een minimum aan guidance; costs tijd en handelen kunnen worden geraadpleegd.

5 Which roles with regard to research data fulfil Dutch researchers (DANS Naambekendheidsonderzoek 2013) With regard to research data I fulfil the following roles: Researchers Ph.D. students I am (co-) producer of research data 80,7 78,9 I have made research data available to others occasionally 45,3 25 I re-use research data ( from other researchers and/or from large research facilities) 43,1 41,8 None of the above-mentioned roles 8,3 8,9

6 How do Dutch researchers characterise their own research area? (DANS Naambekendheidsonderzoek 2013) How would you characterise your research area with regard to research data? Researchers PhD students Research data do hardly play a role in my research area Data archiving and datasharing is already well organised in my research area Data archiving and datasharing become increasingly important in my research area and its organisation is in development In my research area there is no culture of data archiving and datasharing 9,6 10,5 15,5 10,2 52,7 57,6 In 2011: 42,4% 41,4% 22,2 21,7

7 A simplified schema of the ideal research project from the perspective of research data management Start Conduct of the research Publications Data management plan Storage and (collaborative) processing of the research data Archiving and publishing of research dataset(s) Requirements by funders Questions and solutions as research progresses Questions and solutions after conclusion of research Questions and solutions in the research proposal phase

8 Programme Requirements by funders Research data and NWO: how to run a research group in the world of big data; Bert Meijer, Department of Chemical Engineering and Chemistry, member of the board of NWO Questions and solutions in research proposal phase: data management plan Break Questions and solutions after conclusion of research: Data archiving and publishing Questions and solutions as research progresses Data lab Closing remarks Networking with refreshments Data management planning; Madeleine de Smaele, 3TU Datacenter Practical Benefits (and Some Annoyances) of Sharing Data; Daniël Lakens, Department of Industrial Engineering & Innovation Sciences Data sharing pays off; Leon Osinski (IEC) Archiving and publishing in practice ; Joos Buijs, Department of Mathematics & Computer Science Data labs; Maurice Vanderfeesten, 3TU Datacenter Beyond data sharing: sharing research software in a dedicated cloud; Pieter van Gorp, Department of Industrial Engineering & Innovation Sciences